Fabric defect detection using the improved YOLOv3 model

To improve the detection rate of defect and the fabric product quality, a higher real-time performance fabric defect detection method based on the improved YOLOv3 model is proposed. There are two key steps: first, on the basis of YOLOv3, the dimension clustering of target frames is carried out by co...

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Bibliographic Details
Published inJournal of engineered fibers and fabrics Vol. 15
Main Authors Jing, Junfeng, Zhuo, Dong, Zhang, Huanhuan, Liang, Yong, Zheng, Min
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 2020
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